Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation

26 Jan 2019Eytan KatsJacob GoldbergerHayit Greenspan

This paper explores the use of a soft ground-truth mask ("soft mask'') to train a Fully Convolutional Neural Network (FCNN) for segmentation of Multiple Sclerosis (MS) lesions. Detection and segmentation of MS lesions is a complex task largely due to the extreme unbalanced data, with very small number of lesion pixels that can be used for training... (read more)

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